Responsibilities: Model Building and Application: Develop and apply predictive models to forecast operational trends, optimizing manpower allocation and resource utilization. Implement machine learning and computer vision algorithms to enhance decision-making automation. Address challenges in manufacturing processes through data-driven insights. Operations Optimization: Oversee logistics optimization, ensuring streamlined processes in transportation and distribution. Improve baggage handling systems through data-driven enhancements. Implement waste management strategies in the food sector to minimize environmental impact. Enhanced Productivity: Spearhead initiatives to prevent manual mistakes and improve overall work efficiency. Identify opportunities for automation and implement solutions to enhance operational productivity. Leadership and Team Management: Lead a team of 3-4 data scientists, ranging from junior to mid-level, fostering a collaborative and innovative work environment. Provide hands-on guidance while empowering team members to come up with creative solutions. Utilize strong leadership skills to drive the team towards achieving organizational goals. Technical Skills: Possess expertise in artificial intelligence, machine learning, and computer vision. Demonstrate proficiency in data modeling and the ability to extract actionable insights from complex datasets. Productize solutions, ensuring that data science outputs are translated into tangible operational improvements. Communication and Collaboration: Build rapport and effectively communicate complex technical concepts to non-technical stakeholders. Collaborate with cross-functional teams, including data scientists, engineers, and other departments to implement data-driven solutions. Qualifications: Master's degree in a relevant field. Proven experience in data science and managerial roles. Strong background in AI, machine learning, and computer vision. Demonstrated ability to lead and mentor a team. Previous experience in manufacturing and operations optimization is preferred. Notable achievements in implementing data-driven solutions that have positively impacted productivity and efficiency.
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